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102.
???????????????????????VTEC????????????????????????????????????????????????????е?GPS??????????3С???????????????????????????????????????Ч??С???????? 相似文献
103.
晋城矿区15#煤直接顶K2石灰岩厚8~12 m,结构致密坚硬,为坚硬难垮落顶板。针对厚层石灰岩顶板可能面临的大面积断裂和垮落,从而导致冲击地压等问题,通过岩石力学性质试验获得相关岩层力学参数,并运用关键层理论、数值模拟和相似材料模型试验,研究了厚层脆韧性石灰岩顶板的变形与垮落特性,得到了顶板初次来压步距20~25 m和周期来压步距10~15 m及垮落规律,并提出了顶板控制的技术途径,即初期中深孔爆破结合顶板关键层缓慢下沉综合控制技术。实践表明,厚层石灰岩顶板的垮落形态和垮落步距与理论和试验研究结果基本一致。该项成果为晋城矿区厚层脆韧性石灰岩顶板控制提供了有效途径。 相似文献
104.
火山岩盖层类型及封气能力——以松辽盆地徐家围子断陷为例 总被引:5,自引:0,他引:5
利用钻井、测井和分析测试资料,对徐家围子断陷火山岩盖层类型、识别标志、分布、封闭能力和对天然气成藏与分布的控制作用进行了研究,认为徐家围子断陷火山岩盖层分为火山碎屑岩和火山熔岩盖层2种。火山碎屑岩盖层主要是凝灰岩和火山角砾岩,具有井径扩容、电阻率小和高声波时差特征;火山熔岩盖层主要为流纹岩、凝灰岩和安山岩,具有井径不扩容、电阻率中等和低声波时差特征。利用高声波时差和声波时差值小于56 μs/ft可以分别识别火山碎屑岩盖层和火山熔岩盖层。火山碎屑岩盖层区域分布在断陷南部下白垩统营城组一段火山岩体的顶部,火山熔岩盖层局部分布在营一段和营三段火山岩体内部。火山碎屑岩盖层较火山熔岩盖层具有更强的封气能力,火山碎屑岩盖层控制着徐家围子断陷火山岩中天然气的区域聚集与分布,火山熔岩盖层仅控制着天然气在火山岩体中的局部聚集与分布。 相似文献
105.
用统计学上的χ~2检验方法对华东地区M_L≥4.0地震平静进行了统计检验,得出在较高的置信概率下可以将平静时间T≥140天作为平静异常的判别标准。总结了华东地区自1970年以来出现的平静异常,并分析了其对应中强地震的情况。研究表明,M_L≥4.0地震平静异常是华东地区中强震前的一种普遍现象。62.5%的平静异常后发生了M_S≥4.5地震;绝大多数平静异常前存在着地震活动的增强过程,多次活动增强后连续发生了平静异常且之后发生了M_S≥5.0地震。 相似文献
106.
Land Use Allocation Based on Interval Multi-objective Linear Programming Model: A Case Study of Pi County in Sichuan Province 总被引:3,自引:1,他引:2
Adjusting and optimizing land use structure is one of the essential approaches to solve the conflict between land supply and demand. In this study,an uncertain interval multi-objective linear programming model was established and applied to analyzing the suitability of land use structure in Pi County of Sichuan Province. An adjustment scheme for optimizing land use structure was proposed on the basis of development planning drawn up by the local government. The results are summarized as follows: 1) the opti... 相似文献
107.
在场地岩土工程勘察中,为使所取土样之间满足数据独立性的要求,本文提出应使钻孔取样间距等于土的相关距离,这样能真实、准确地反映地基土的特性。根据Vanmarcke提出的随机场模型,结合数理统计和随机过程理论,采用递推平均法计算得到土的相关距离,其计算数据来自现场静力触探试验。 相似文献
108.
Genetic algorithm for fitting a mixed Bingham distribution to 3D orientations: a tool for the statistical and paleostress analyses of fracture orientations 下载免费PDF全文
Atsushi Yamaji 《Island Arc》2016,25(1):72-83
The clustering of fracture orientations is important for tectonic studies and for geotechnical engineering. In this study, a real‐coded genetic algorithm was adopted to fitting a mixed Bingham distribution to orientation data by maximizing the log‐likelihood function of the distribution. The maximization is a difficult problem, because the function has multimodality and singularity. It was found that the algorithm was effective for this problem. Given the orientations of dilational fractures, the present method determines not only the stress axes and stress ratio of each of the fracture groups but also the maximum non‐dimensionalized fluid pressure at the time of their formation. In addition, the software calculates the 95 % error ellipses of the concentration axes. The present method found that the orientations of ore veins of the Akenobe Mine, SW Japan, should be partitioned into three clusters. It is shown that two of the groups had distinctive Zn and Sn contents, and that the ore fluids had overpressures only slightly greater than the minimum principal stress at the time of the deposition of Zn‐ and Sn‐rich veins. 相似文献
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110.
Clustering of temporal event processes 总被引:1,自引:0,他引:1
Tao Pei Xi Gong Shih-Lung Shaw Ting Ma 《International journal of geographical information science》2013,27(3):484-510
A temporal point process is a sequence of points, each representing the occurrence time of an event. Each temporal point process is related to the behavior of an entity. As a result, clustering of temporal point processes can help differentiate between entities, thereby revealing patterns of behaviors. This study proposes a hierarchical cluster method for clustering temporal point processes based on the discrete Fréchet (DF) distance. The DF cluster method is divided into four steps: (1) constructing a DF similarity matrix between temporal point processes; (2) constructing a complete linkage hierarchical tree based on the DF similarity matrix; (3) clustering the point processes with a threshold determined by locating the local maxima on the curve of the pseudo-F statistic (an index which measures the separability between clusters and the compactness in clusters); and (4) identifying inner patterns for each cluster formed by a series of dense intervals, each of which contains at least one event of all processes of the cluster. The contributions of the article are: (1) the proposed DF cluster method can cluster temporal point processes into different groups and (2) more importantly, it can identify the inner pattern of each cluster. Two synthetic data sets were created to illustrate the DF distance between temporal point process clusters (the first data set) and validate the proposed DF cluster method (the second data set), respectively. An experiment and a comparison with a method based on dynamic time warping show that DF cluster successfully identifies the preconfigured patterns in the second synthetic data set. The cluster method was then applied to a population migration history data set for the Northern Plains of the United States, revealing some interesting population migration patterns. 相似文献